Analytics Engineer

Loenbro•Centennial, CO

1d•Hybrid

About The Position

The Analytics Engineer is a technical producer role at the foundation of Loenbro’s data platform. This person designs, builds, and maintains the data pipelines, models, and architecture that make reliable reporting possible. They work within Microsoft Fabric to move raw data through the medallion layers — from ingestion to clean, structured, business-ready models — and hand off trusted datasets to the BI team to build reports against.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field
3–5+ years of experience in data engineering, analytics engineering, or a closely related technical discipline
Demonstrated experience building and maintaining data pipelines in a production environment
Hands-on experience with medallion architecture (bronze/silver/gold layers) and lakehouse design
Microsoft Fabric — required; Lakehouses, Data Warehouses, Dataflows Gen2, Data Pipelines, PySpark Notebooks, and OneLake
SQL — required; complex queries, stored procedures, transformation logic, and performance tuning
Python or another scripting language — required; pipeline automation, data transformation, and custom tooling
ETL/ELT design patterns and data integration from multiple source systems
OneLake, Delta Lake, and Parquet-based storage formats
CI/CD practices and version control (Git/Azure DevOps) applied to data pipelines and deployments
SDLC and ALM process discipline — moving solutions responsibly from development through production
Strong command of fact and dimension table design — star schema, snowflake schema, and conformed dimensions
Experience building and publishing semantic models / datasets that serve as the trusted layer the BI team builds reports against
Data quality, lineage, and governance principles — understanding how to build trust in a data platform
DAX proficiency for semantic layer logic, calculated measures, and KPI definitions
Ability to optimize semantic models for performance, scalability, and reuse across multiple reports

Nice To Haves

Power Platform experience (Power Automate, Power Apps)
AI/ML exposure — integrating AI-assisted pipelines or LLM outputs into data workflows
Software development background in any additional language
Microsoft DP-700 (Fabric Data Engineer Associate) or DP-600 (Fabric Analytics Engineer) certification
Construction or heavy industry experience is a plus

Responsibilities

Design, build, and maintain data pipelines that ingest and transform data from source systems into the Loenbro lakehouse on Microsoft Fabric
Integrate data from ERP systems, project management platforms, APIs, and other operational sources into the lakehouse
Enforce data quality standards — building validation logic, monitoring pipelines, and resolving data integrity issues before they surface in reports
Use the medallion architecture — structuring bronze, silver, and gold layers to ensure data is clean, consistent, and ready for consumption by the BI team
Build and maintain fact and dimension tables and semantic models that serve as the trusted, authoritative data layer for all reporting
Collaborate with the team to understand reporting requirements and ensure the data model supports the metrics and KPIs the business needs
Document data models, pipeline logic, and transformation rules so the team can understand, maintain, and extend the platform over time
Manage deployments using SDLC and ALM best practices — version control, environment promotion, and change management
Stay current on Microsoft Fabric capabilities and proactively recommend improvements to the data platform architecture